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This solution implements the same logic as the previous solution, but it uses a different technique to produce current-next pairs. This solution defines a common table expression (CTE) called C that calculates row numbers to position sequence values. The outer query joins two instances of the CTE, one representing current values, and the other representing next values. The join condition matches current-next values based on an offset of 1 between their row numbers. The filter in the outer query then keeps only those pairs with a difference greater than 1. The plan for this solution shows that the optimizer does two ordered scans of the index to produce row numbers for current and next values. The optimizer then uses a merge join to match current-next values. The two ordered scans of the index are not expensive compared to the seek operations done in the previous solution. However, the merge join appears to be many-to-many and is a bit expensive. This solution ran for 24 seconds on my system, and incurred 32,246 logical reads. To apply the solution to a temporal sequence, use the DATEADD function instead of using +1 and -1, and the DATEDIFF function to calculate the difference between Nxt.seqval and Cur.seqval. To apply the solution to a sequence with duplicates, use the DENSE_RANK function instead of ROW_NUMBER, and add DISTINCT to the SELECT clause of the inner query. rdlc code 128 How to Generate Code 128 Barcode in RDLC Reports
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